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Open Data, What, Why and How
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Open Data The What, Why, and How in 50 examples or less World e-Gov Forum, Astana, 6 October 2014 Anton Zijlstra, @ton_zylstra
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Open data master class keynote for roundtable of CIS countries, for the World Bank, in Astana, Kazachstan
Transcript of Open Data, What, Why and How
Open DataThe What, Why, and How in 50 examples or less
World e-Gov Forum, Astana, 6 October 2014
Anton Zijlstra, @ton_zylstra
hansjebrinker.com
impacts infrastructure, mobility, coastal defence, costs
http://hansjebrinker.com
&What it is
How to do
Why do it &
What it is
Data that is
Gathered for a public task !
Pro-actively published !
To be used by others
No legal barriers
Everyone has equal access !
Open licensed (PD, or attribution) !
No statement of interest !
No usage restrictions
No tech barriers
Open standards !
Findable !
In bulk and/or in pieces !
Raw and timely
No monetary barriers
Free of charge !
Marginal costs at most
untapped abundance
https://secure.flickr.com/photos/opensourceway/5535034664
by default, by design
Why do it
Market and civic domain !!!!!!!!!!!!!!!
Government domain !!!!!!!!!!!!!!!
There always was value in data
Government Data
Re-user 1
Re-user 2
Open Data
2: effect of ‘Open’ !- free or not? - - ∆ demand - Ev price !
- ∆ fiscal revenue > ∆ sales revenue ?
!OXFORD 2009 POPSIS 2011
1: Market value PSI !!!!!!!!!
PIRA 2000 (€95 B) MEPSIR 2006 (€ 37 B)
3: cost of ‘Open’ <<1% of costs
Market and civic domain !!!!!!!!!!!!!!!
Government domain !!!!!!!!!!!!!!!
Gov body 1 DataOpen Data
Government - Interaction w market/citizens changes
- Quality of data improves - Increased efficiency & effectiveness - public tasks shift (smaller, different)
Digitization has shifted that valueMarket
- Barriers to entry drop away
- market dynamics: chains change
- paradigm shift: from owning to using
Value looks different: - less lineair - not monetary - more equally spread - hard to measure - hard to correlate - but doable
four valuable reasons
more efficient government !
better public services !
more transparent government !
new socio-economic value
four valuable reasons
more efficient government !
better public services !
more transparent government !
new socio-economic value!
http://www.flickr.com/photos/59937401@N07/5858059202/
DK addresses 2010: value > 70 * cost !
ETLA, SME’s geo data grow 15% faster !
Spain 2011/12, up to 600 million Euro !
POPSIS 2012, 21 cases !
Vickery / EC 2012, 2% GDP EU !
McKinsey 2014, $3 trillion+ !
See „Open Data for Economic Growth” (WB, june 2014)
!!
all empirical evidence points same way
open data in the EU
four valuable reasons
more efficient government !
better public services !
more transparent government!!
new socio-economic value
various reasons, a transparant sector results
284 organisations, aidtransparency.net
http://www.flickr.com/photos/59937401@N07/5858059202/
economic value? transparency?
not my departments job!
four valuable reasons
more efficient government!!
better public services !
more transparent government !
new socio-economic value
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participatory budgeting
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government is a strong re-user: 6.5m GBP saved
Denmark projects 26M+ Euro annual savings
BC #1 user, 33% of downloads
open data shows 200m GBP potential savings
four valuable reasons
more efficient government !
better public services!!
more transparent government !
new socio-economic value
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http://wiki.openstreetmap.org/wiki/File:Haiti_earthquake_damage_map.png
http://hot.openstreetmap.org/
allowing disaster response
http://www.theguardian.com/society/2013/mar/12/nhs-transparency-open-data-initiative
1000 less heart surgery deaths / year
https://secure.flickr.com/photos/76652722@N04/6878044757
pupil and elderly public transport: better = cheaper
Uganda: Open Data and Community Health Monitoring
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z 33% reduction in under-5 mortality
z 20% extra utilisation of out-patient services
z Significant improvements in: z Immunization z Waiting times z Absenteeism
source: Andrew Stott, World Bank
policy problem
new ways
four valuable reasons
more efficient government!!
better public services!!
more transparent government!!
new socio-economic value!
How to do
Costs too much; What’s the business case; Has commercial value; Possible privacy issues; Confidential info; It’s not ours, and we don’t know who owns it; It’s not ours and supplier won’t allow it; The quality isn’t very good; We don’t know where it is; Not our job; It’s in a useless format anyway; I don’t have the authority; People will misuse the data; People will use it wrongly; Only we understand our data; We’ll get sued; Files are just too big; Too little bandwith; It starts with this, but where’s the end? It’s there, but can’t be opened; Data is dated/too old; It’s not in digital format; Is this even legal?; Our Minister says no; We never have done this before, why start now?; I don’t see the use; Nobody will be interested; No time; No resources; Just do FOIA requests; We’ll publish it redacted; It’s not complete; It contains errors; It’s commercially sensitive; Combining this with other data is dangerous; People will come to wrong conclusions; People will get lost and confused; It will trigger endless discussions; We can’t confirm or deny we have that data; We’ll get feedback, and can’t handle that; Our IT supplier says it’s not possible; Our IT supplier will charge too much; Our site will crash; It’s already online! (but in unfindable PDFs); If people download it and use it later it will be outdated; I can’t take responsibility for all the reuse; People will get angry; Our data is in contradiction to the data of the department that is in charge of the topic; Only we truly understand.....statistics/meteo/geo/laws; We’ll disrupt the market; It will only be used to attack us.
many shades of ‘no’
real barriers: it’s a transitionSee http://www.flickr.com/photos/epsiplatform/5737203950/
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top
bottom
middle
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top down leadership
Networked life, networked work, networked learning
know the gov does not exist. find 1 civil servant
bottom up trailblazing
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middle
middle out organizing
where to start?
1 Core reference data
accessibility
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2 Data people care about
cleaning up the country side
3 Data you care about
value, efficiency, impact
use open data as a policy instrument
policy issue
stakeholders open data
OPEN data
open DATAvs
serious issues
serious data=
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create the ‚Viennese Waltz’
how to publish?
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<<1%
rule of thumb
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how to change existing financing models?
https://secure.flickr.com/photos/alexjbutler/14953247679/
Who is to pay the bill? 5 options
Data setsRegistration+ updating
Delivery to users
Public sector
Private sector + society
Reporting fee
Registration fee
User fee
User fee
State
budget
Who is to pay the bill?
Data setsRegistration+ updating
Delivery to users
Public sector
Private sector + society
Reporting fee
Registration fee
User fee
User fee
State
budget➢Discourage use
➢Affect quality data
➢Discourage use ➢ govt pays govt ➢Admin costs
➢If there is a concrete return ➢If admin costs low
➢Discourage use ➢Miss out on value
Some Dutch figures on income key registers 2011 * 1 million euros
Registration fees
Public sector use
Private sector use
Own re-use activities
State budget Total
Buisness registers
67 6 42 5 - 120
Cadastral registers
130 15 35 30 - 210
Topogra-phical map
- 9,5 0,5 - 14 24
Adresses - - - - 4 4
Total 197 30,5 77,5 35 18 358
embedding into internal policy?
leadership commitment !
procurement procedures !
procurement contracts !
IT specs & change management !
policy plan writing !
project plan writing
https://secure.flickr.com/photos/driek/2938311931
internal policy addresses data holder concerns
Actief uitnodigend
community engagement?
http://www.flickr.com/photos/dhammza/492882480/
iinformality important ingredient
Issue driven
Tech drivenvs
shape your path, with others
Open Data Readiness Assessment (ODRA)
if you know why, you’ll see impact
http://www.flickr.com/photos/ringroadproductions/144808172/
CreditsOpen Data!
The What, Why, and How in 50 examples or less
Photos: all CC BY NC SA Anton Zijlstra, except where mentioned on photo (CC respective authors) !Slides: CC BY NC SA except where source stated downloads at http://slideshare.net/thegreenland
Anton Zijlstra, @ton_zylstra, [email protected]
